Processing method and system suitable for digital computer ticket

Abstract

The invention relates to the technical field of data processing, and discloses a processing method and system suitable for a digital computer ticket, and the method comprises the steps: carrying out the interaction with a user through an interaction module based on a betting playing method set, receiving a target betting playing method selected by the user, and determining a betting mode set based on the target betting playing method; using an interaction module to interact with the user based on the betting mode set, and receiving a target betting mode selected by the user; determining a target algorithm model based on the target betting mode; interacting with the user based on the target betting mode, and receiving a betting number selected by the user; and determining a betting result based on the target algorithm model and the betting number. Through full-process intelligent design and multi-technology fusion, core functions of data processing, interactive response, algorithm optimization, scene adaptation and the like are comprehensively improved, an efficient and complete digital computer ticket processing scheme is formed, and the problems that a traditional single betting mode is high in operation cost and lacks combination expansion capacity are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to a processing method and system suitable for digital computer lottery tickets. BACKGROUND

[0002] Digital computer lottery ticket games, as an important part of the lottery market, have attracted widespread participation due to their simple rules and diverse gameplay. In recent years, with the rapid development of the lottery market, digital computer lottery ticket games have gradually become popular worldwide. Digital computer lottery ticket games are a type of lottery game based on digital selection and matching. Users need to randomly select one or more numbers from 0-9, combine them into different digit numbers for betting, and the system will randomly generate the same number of winning numbers. The specific rules of matching the bet number with the winning number are used to determine whether the bet is a winner. Currently, the core gameplay of digital computer lottery ticket games is divided into single selection and group selection: according to the game rules of single selection, the bet number and the winning number are the same in each position, and the bet is a winner. According to the game rules of group selection, the bet number and the winning number are the same, and the bet is a winner.

[0003] Traditional single betting methods have high operating costs and lack the ability to expand combinations. If users want to cover multiple groups of numbers, they need to manually select multiple single groups, and the operating cost increases linearly with the number of numbers, limiting the user experience. SUMMARY

[0004] Therefore, the present application provides a processing method and system suitable for digital computer lottery tickets to solve the problem of high operating cost of traditional single betting methods, lack of combination expansion ability, and need to manually select multiple single groups if users want to cover multiple groups of numbers, which limits the user experience.

[0005] In a first aspect, the present application provides a processing method suitable for digital computer lottery tickets, which includes: step S1, using an interactive module to interact with a user based on a set of betting games, receiving the user's selected target betting game, and the set of betting games includes single selection and group selection; step S2, determining a set of betting methods based on the target betting game; step S3, using the interactive module to interact with the user based on the set of betting methods, and accepting the user's selected target betting method; step S4, determining a target algorithm model based on the target betting method; step S5, interacting with the user based on the target betting method, and accepting the user's selected bet number; step S6, determining the bet result based on the target algorithm model and the bet number.

[0006] The processing method for digital computer lottery tickets provided in the embodiment comprehensively improves core functions such as data processing, interactive response, algorithm optimization and scene adaptation through intelligent design and multi-technology integration throughout the whole process, and forms an efficient and complete digital computer lottery ticket processing solution to meet multiple needs of the lottery industry. The interactive module accurately analyzes user betting needs, not only identifying explicit needs but also mining potential preferences, while synchronously checking data with the database in real time to ensure that betting information is accurate and reliable; supports multi-modal interactive methods, provides personalized recommendations and dynamic adjustment suggestions based on user historical data, making betting operations more convenient and intelligent; the target algorithm model optimizes betting combinations with the principles of combinatorics and probability statistics, improves processing efficiency through parallel computing and other technologies, and can also assess and control the risk of betting schemes; has full-channel coverage capability, can adapt to different types of digital lottery games, realizes data interconnection and scene switching, and forms a unified processing framework through abstract rules, facilitating quick response to market demand. The processing method for digital computer lottery tickets provided in the embodiment effectively solves the problems of high operation cost, lack of combination expansion capability, and limited user experience in traditional single betting methods.

[0007] In an optional implementation, the step S2 of determining the betting mode set based on the target betting play includes: if the target betting play is a single selection play, determining the betting mode set as a first betting mode set, and the first betting mode set includes: single selection-all package point betting mode, single selection-single package point betting mode, single selection-double package point betting mode, single selection-by-bit combination betting mode, single selection-full combination betting mode, single selection-single combination betting mode, single selection-double combination betting mode, single selection-full span betting mode, single selection-single span betting mode, single selection-double span betting mode, and single selection-full hit betting mode; if the target betting play is a group selection play, determining the betting mode set as a second betting mode set, and the second betting mode set includes: group selection 3-double package point betting mode, group selection 3-double combination betting mode, group selection 3-double span betting mode, group selection 6-single package point betting mode, group selection 6-single combination betting mode, group selection 6-single span betting mode, and group selection 6-single hit betting mode.

[0008] In an optional implementation, the betting number includes a specific number input by the user and an attribute condition selected by the user based on a sum, a span, and single-double attributes, and the attribute condition is used to generate the specific number by the target algorithm model according to the attribute condition.

[0009] In an optional implementation, step S5, which involves interacting with the user based on the target betting method and accepting the betting numbers selected by the user, includes: when the target betting method is a single-selection full-coverage betting method, accepting the sum T selected by the user, and the target algorithm model automatically filtering and arranging specific numbers with a sum of T.

[0010] In an optional implementation, step S5 above, which involves interacting with the user based on the target betting method and accepting the betting numbers selected by the user, includes: when the target betting method is a single-selection-single-package betting method, accepting the sum T selected by the user, and the target algorithm model automatically filtering all specific number arrangements with a sum of T and an odd / even attribute of odd.

[0011] In an optional implementation, step S5 above, which involves interacting with the user based on the target betting method and accepting the betting numbers selected by the user, includes: when the target betting method is a group selection 6-single multiple betting method, accepting the N numbers selected by the user, and the target algorithm model automatically traversing all specific number arrangements composed of any 3 numbers from these N numbers and with the odd / even attribute being odd.

[0012] In an optional implementation, step S5 above, which involves interacting with the user based on the target betting method and accepting the betting numbers selected by the user, includes: when the target betting method is a group selection 3-double fixed and variable betting method, accepting the user's selection of N fixed numbers and N variable numbers, and the target algorithm model automatically traverses all specific number arrangements consisting of all fixed numbers and some variable numbers or consisting only of all fixed numbers and having an odd / even attribute of even.

[0013] In one optional implementation, in the above single-selection-full-fixed-variable betting method, the fixed numbers and variable numbers have no overlap, only when N 胆 =2 and the two fixed numbers are the same, the fixed numbers can be repeated, but the variable numbers cannot be repeated. The target algorithm model calculates the number of betting number groups M based on the number and relationship of the fixed numbers and variable numbers.

[0014] In a second aspect, the present application provides a processing system for digital computer lottery tickets, which comprises: in an optional embodiment, the interaction mode between the interaction module and the user comprises graphical user interface interaction, voice interaction and text interaction; a first interaction module configured to interact with the user based on a set of betting game modes by using the interaction module, receive a target betting game mode selected by the user, wherein the set of betting game modes comprises a single game mode and a group game mode; a first determination module configured to determine a set of betting modes based on the target betting game mode; a second interaction module configured to interact with the user based on the set of betting modes by using the interaction module, receive a target betting mode selected by the user; a second determination module configured to determine a target algorithm model based on the target betting mode; a third interaction module configured to interact with the user based on the target betting mode, receive a betting number selected by the user; and a third determination module configured to determine a betting result based on the target algorithm model and the betting number. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the drawings needed in the specific embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0016] Figure 1 is a flowchart of a processing method for digital computer lottery tickets according to an embodiment of the present application;

[0017] Figure 2 is a structural block diagram of a processing system for digital computer lottery tickets according to an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0019] As an important part of the lottery market, digital computer lottery games attract a wide range of participants due to their simple rules and diverse gameplay. In recent years, with the rapid development of the lottery market, digital computer lottery games have gradually gained popularity worldwide. Digital computer lottery games are based on digital selection and matching. Users need to select one or more numbers from 0-9 with replacement, combine them into different digit numbers for betting, and the system will randomly generate the same number of winning numbers. By matching the betting numbers with the winning numbers according to specific rules, it is determined whether to win a prize. Taking a three-digit digital computer lottery game as an example, the three positions from left to right are hundreds, tens, and units. Therefore, the betting numbers are composed of 000-999 (1000 groups in total), and the winning numbers are randomly selected from 000-999 in the order of hundreds, tens, and units. Currently, the core gameplay of digital computer lottery games is divided into single selection and group selection: according to the rules of single selection, the betting numbers and the winning numbers are the same in each position, and the user can win a prize. According to the rules of group selection, the betting numbers and the winning numbers are the same, and the user can win a prize.

[0020] The traditional single betting method of digital computer lottery games has high operation cost and lacks combination expansion capability. If users want to cover multiple groups of numbers, they need to manually select multiple single groups, and the operation cost increases linearly with the number of numbers, limiting user experience and market potential.

[0021] The processing method suitable for digital computer lottery provided in the embodiment comprehensively improves the core functions of data processing, interactive response, algorithm optimization, and scene adaptation through intelligent design and multi-technology integration throughout the process, forming an efficient and complete digital computer lottery processing solution to meet the multiple needs of the lottery industry. The interactive module accurately analyzes user betting needs, not only identifying explicit needs but also uncovering potential preferences, while synchronously verifying data with the database in real time to ensure accurate and reliable betting information; supports multi-modal interaction, provides personalized recommendations and dynamic adjustment suggestions based on user historical data, making betting operations more convenient and intelligent; the target algorithm model optimizes betting combinations with the principles of combinatorics and probability statistics, improves processing efficiency through parallel computing and other technologies, and can also assess and control the risk of betting schemes; has full-channel coverage capability, can adapt to different types of digital lottery games, realizes data interconnection and scene switching, and forms a unified processing framework through abstract rules, facilitating rapid response to market demand. It effectively solves the problems of ambiguous demand analysis, poor interactive experience, low calculation efficiency, and weak scene adaptability in traditional processing. In summary, the processing method suitable for digital computer lottery provided in the embodiment effectively solves the problem of high operation cost of traditional single betting method, lack of combination expansion capability, and linear increase of operation cost with the number of numbers if users want to cover multiple groups of numbers, which limits user experience.

[0022] According to the embodiment of the present application, a processing method for digital computer tickets is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in a different order.

[0023] In this embodiment, a processing method for digital computer tickets is provided, Figure 1 is a flowchart of the processing method for digital computer tickets according to the embodiment of the present application, as shown in Figure 1 The flowchart includes the following steps:

[0024] Step S1, using the interactive module to interact with the user based on the set of betting game rules, receiving the target betting game selected by the user, and the set of betting game rules includes single selection game and group selection game.

[0025] Specifically, the interactive module adopts multi-dimensional interactive design, constructs a visual betting game selection interface, and presents the single selection game and the group selection game to the user in a picture-text mode. Among them, the single selection game is marked as a betting mode that needs to match the winning number by bit, and the system will synchronously display its core rules, for example, in a three-digit game, the hundreds, tens and units digits must be completely consistent to win; the group selection game is marked as a betting mode that does not need to consider the order of numbers, and the difference between group selection 3 and group selection 6 is distinguished. During the interactive process, the system supports multiple interactive modes such as click selection or code scanning quick selection.

[0026] Step S2, determining the betting mode set based on the target betting game.

[0027] (I) Single selection game

[0028] According to the game rules of the single selection game, the betting number and the winning number are the same in hundreds, tens and units, that is, the betting number and the winning number are the same in hundreds, tens and units, that is, the betting number and the winning number are the same in hundreds, tens and units. If the bettor bets according to the traditional single selection-single type betting mode, the winning probability is only 0.1%. For example, if the betting number is 123, only when the winning number is 123 (1 group of 1000 numbers), the bettor can win. In order to facilitate the bettor to select the betting number and improve the winning probability, 14 new betting modes are invented on the basis of the traditional single selection-single type betting mode.

[0029] If the above target betting method is a single selection method, the betting mode set is determined as the first betting mode set, that is, on the basis of the traditional single selection-single type betting mode, the 14 new betting mode sets of the innovative invention include: single selection-full package point betting mode, single selection-single package point betting mode, single selection-double package point betting mode, single selection-by-bit complex betting mode, single selection-full complex betting mode, single selection-single complex betting mode, single selection-double complex betting mode, single selection-full span betting mode, single selection-single span betting mode, single selection-double span betting mode, single selection-full cross span betting mode, single selection-single cross span betting mode, single selection-double cross span betting mode, and single selection-full hit betting mode.

[0030] Further, the rules of each betting mode in the first betting mode set are as follows:

[0031] 1. Single selection-full package point betting mode

[0032] And the sum attribute is defined as the sum of the three numbers of the user-selectable betting numbers 000-999 as the sum attribute of the group of betting numbers. For example, the sum attribute of the betting number 000 is 0, and the sum attribute of the betting number 999 is 27.

[0033] Single selection-full package point betting mode refers to that the user selects a sum T for betting, and the model automatically screens all permutations that meet the sum attribute T, and bets on all M groups of betting numbers, and the winning probability is increased to Mx0.1%. Among them,

[0034] Betting number limited condition: sum attribute T∈[0, 27].

[0035] The algorithm of the number of betting number groups M is: the model automatically screens all permutations that meet the sum attribute T.

[0036] As an example, the user selects a sum of 24 for betting, and the model automatically screens all permutations that meet the sum attribute of 24, and bets on all 10 groups of betting numbers, and the betting numbers are shown in Table 1.

[0037] Table 1

[0038]

[0039] 2. Single selection-single package point betting mode

[0040] Sum property: the sum of three numbers of the user-selectable betting numbers 000-999 is defined as the sum property of the group of betting numbers. For example, the sum property of betting number 000 is 0, and the sum property of betting number 999 is 27. Odd-even property: if the three numbers of the user-selectable betting numbers 000-999 are all different, the odd-even property of the group of betting numbers is odd; if there are only two same numbers, the odd-even property of the group of betting numbers is even; if the three numbers are all the same, the odd-even property of the group of betting numbers is three same. For example, the odd-even property of betting number 012 is odd, the odd-even property of betting number 001 is even, and the odd-even property of betting number 000 is three same.

[0041] Single selection-single package point betting mode refers to that the user selects a sum value T for betting, and the model automatically screens all arrangements that meet the sum property T and the odd-even property single, and bets on all M groups of betting numbers, so that the winning probability is improved to Mx0.1%.

[0042] Betting number limitation condition: sum property T∈[3, 24].

[0043] Betting number group number M algorithm: the model automatically screens all arrangements that meet the sum property T and the odd-even property single.

[0044] As an example, the user selects a sum value 24 for betting, and the model automatically screens all arrangements that meet the sum property 24 and the odd-even property single, and bets on all 6 groups of betting numbers, and the betting numbers are shown in Table 2.

[0045] Table 2

[0046]

[0047] 3. Single selection-double package point betting mode

[0048] Sum property: the sum of three numbers of the user-selectable betting numbers 000-999 is defined as the sum property of the group of betting numbers. For example, the sum property of betting number 000 is 0, and the sum property of betting number 999 is 27. Odd-even property: if the three numbers of the user-selectable betting numbers 000-999 are all different, the odd-even property of the group of betting numbers is odd; if there are only two same numbers, the odd-even property of the group of betting numbers is even; if the three numbers are all the same, the odd-even property of the group of betting numbers is three same. For example, the odd-even property of betting number 012 is odd, the odd-even property of betting number 001 is even, and the odd-even property of betting number 000 is three same.

[0049] The single-selection-double betting method refers to a user selecting a sum T for betting. The model will automatically filter all permutations that satisfy the sum attribute T and the odd / even attribute of even, and bet on all M groups of numbers. The probability of winning will increase to M×0.1%.

[0050] Betting number restrictions: sum value attribute T∈[1,26].

[0051] The algorithm for the number of betting number groups M: The model automatically filters all permutations that satisfy the sum attribute T and the odd / even attribute even.

[0052] As an example, if a user selects a sum of 24 for betting, the model will automatically filter all permutations that satisfy the sum attribute of 24 and the odd / even attribute of even, and place bets on all 3 sets of numbers, as shown in Table 3.

[0053] Table 3

[0054]

[0055]

[0056] 4. Single Selection - Position-Based Multiple Betting Method

[0057] Single-selection-positional multiple betting refers to the user selecting N 百 Number T 百 N 十 Number T 十 N 个 Number T 个 Betting is placed on the hundreds, tens, and units digits respectively. The model will automatically iterate through the digits that satisfy the condition that the hundreds digit belongs to T. 百 The tens digit belongs to T 十 The units digit belongs to T 个 If all permutations of the numbers are bet on, and all numbers in group M are bet on, the probability of winning will increase to M × 0.1%.

[0058] Number of bet numbers limited: N 百 N 十 N 个 ∈[1,10], N 百 +N 十 +N 个 ≥4.

[0059] Betting number restrictions: T 百 T 十 T 个 ∈[0,9],T 百 T 十 T 个 It cannot be repeated, T 百 T 十 T个 There can be intersection between them.

[0060] The algorithm of the number of betting number groups M: M=N 百 ×N 十 ×N 个 .

[0061] As an example, the user selects 2 numbers 12, 2 numbers 12, and 2 numbers 23 to bet on the hundreds, tens, and units respectively. The model will automatically traverse all permutations that satisfy the hundreds belonging to 12, the tens belonging to 12, and the units belonging to 23, and bet on all 8 groups of betting numbers. The betting numbers are shown in Table 4.

[0062] Table 4

[0063] Serial number Hundreds Tens Units 1 1 1 2 2 1 1 3 3 1 2 2 4 1 2 3 5 2 1 2 6 2 1 3 7 2 2 2 8 2 2 3

[0064] 5. Single-All-Complex betting mode

[0065] Single-All-Complex betting mode refers to the user selecting N numbers T for betting. The model will automatically traverse all permutations that satisfy the hundreds, tens, and units belonging to T, and bet on all M groups of betting numbers. The winning probability will be increased to Mx0.1%. Among them,

[0066] The number of betting numbers is limited to N∈[2,10].

[0067] The betting number is limited to T∈[0,9], and T itself cannot be repeated. The algorithm of the number of betting number groups M: M=NxNxN.

[0068] As an example, the user selects 3 numbers 123 for betting. The model will automatically traverse all permutations that satisfy the hundreds, tens, and units belonging to 123, and bet on all 27 groups of betting numbers. The betting numbers are shown in Table 5.

[0069] Table 5

[0070]

[0071] 6. Single-All-Complex betting mode

[0072] Single-double attribute: Among the user-selectable betting numbers 000-999, if all three numbers are different, the single-double attribute of this group of betting numbers is single; if there are only two identical numbers, the single-double attribute of this group of betting numbers is double; if all three numbers are the same, the single-double attribute of this group of betting numbers is triple. For example: the single-double attribute of betting number 012 is single, the single-double attribute of betting number 001 is double, and the single-double attribute of betting number 000 is triple.

[0073] Single - double betting mode refers to the user selects N number T for betting, the model will automatically traverse all the arrangements that satisfy the hundred, ten, single and double attributes of the individual belong to T and the single attribute, and bet on M groups of betting numbers, the winning probability will be improved to M x 0.1%. Among them,

[0074] The number of betting numbers is limited to N∈[3,10].

[0075] The betting number limit condition is T∈[0,9], and T itself cannot be repeated.

[0076] The algorithm of the number of betting number groups M is M=N×(N-1)×(N-2).

[0077] As an example, the user selects 3 numbers 123 for betting, the model will automatically traverse all the arrangements that satisfy the hundred, ten, single and double attributes of the individual belong to 123 and the single attribute, and bet on 6 groups of betting numbers, the betting numbers are shown in Table 6.

[0078] Table 6

[0079]

[0080] 7. Single - double betting mode

[0081] Single and double attributes are: among the user-selectable betting numbers 000-999, if the three numbers are not the same, the single and double attributes of this group of betting numbers are single; if there are and only two are the same, the single and double attributes of this group of betting numbers are double; if the three numbers are the same, the single and double attributes of this group of betting numbers are three same. For example: the single and double attributes of betting number 012 are single, the single and double attributes of betting number 001 are double, and the single and double attributes of betting number 000 are three same.

[0082] Single - double betting mode refers to the user selects N number T for betting, the model will automatically traverse all the arrangements that satisfy the hundred, ten, single and double attributes of the individual belong to T and the single attribute, and bet on M groups of betting numbers, the winning probability will be improved to M x 0.1%. Among them,

[0083] The number of betting numbers is limited to N∈[2,10].

[0084] The betting number limit condition is T∈[0,9], and T itself cannot be repeated.

[0085] The algorithm of the number of betting number groups M is M=C(N,2)×C(2,1)×C(3,1).

[0086] As an example, if the user selects 3 numbers 123 for betting, the model will automatically traverse all permutations that meet the conditions that the hundreds, tens and units belong to 123 and the single and double attributes are double, and bet on all 18 groups of betting numbers. The betting numbers are shown in Table 7.

[0087] Table 7

[0088]

[0089] 8. Single selection-full liver drag betting mode

[0090] The single selection-full liver drag betting mode refers to that the user selects N 胆 liver codes T 胆 and N 拖 drag codes T 拖 for betting, and the model will automatically traverse all permutations composed of all T 胆 and part T 拖 or only all T 胆 , bet on M groups of betting numbers, and the winning probability will be increased to Mx0.1%. Among them,

[0091] The number of betting numbers is limited to N 胆 ∈[1,2],

[0092] When N 胆 =1, N 拖 ∈[2,9];

[0093] When N 胆 =2 and T 胆 is the same, N 拖 ∈[1,9];

[0094] When N 胆 =2 and T 胆 is different, N 拖 ∈[1,8].

[0095] The betting number is limited to T 胆 ∈[0,9], T 胆 itself can be repeated; T 拖 ∈[0,9], T 拖 itself cannot be repeated; T 胆 , T 拖 have no intersection.

[0096] The algorithm of the number of betting number groups M:

[0097] When N 胆 =1, M=C(N 拖 ,3-N 胆 )xA(3,3)+C(N 拖 ,2-N 胆 ))×C(2,1)×C(3,1)+C(N 拖 ,1 - N bile)×1;

[0098] When N 胆 = 2 and T 胆 is the same, M = C(N 拖 ,3 - N 胆 )×C(3,1)+C(N 拖 ,2 - N 胆 )×1;

[0099] When N 胆 = 2 and T 胆 is different, M = C(N 拖 ,3 - N 胆 )×A(3,3)+C(N 拖 ,2 - N 胆 )×C(2,1)×C(3,1).

[0100] As an example, it means that the user selects 1 bile code 1 and 3 drag codes 023 for betting. The model will automatically traverse all permutations composed of all bile codes 1 and some drag codes 023 or only all bile codes 1, and bet on all 37 groups of betting numbers. The betting numbers are shown in Table 8.

[0101] Table 8

[0102]

[0103]

[0104] 9. Single-choice - Single bile drag betting method

[0105] The single / double attribute is as follows: Among the betting numbers 000 - 999 that the user can choose, if the three numbers are all different, the single / double attribute of this group of betting numbers is single; if there are exactly two identical numbers, the single / double attribute of this group of betting numbers is double; if the three numbers are all the same, the single / double attribute of this group of betting numbers is triple same. For example: The single / double attribute of the betting number 012 is single, the single / double attribute of the betting number 001 is double, and the single / double attribute of the betting number 000 is triple same.

[0106] The single-choice - single bile drag betting method means that the user selects N bile bile codes T bile and N drag drag codes T drag for betting. The model will automatically traverse all permutations composed of all T bile and some T drag or only all T bile and with a single / double attribute of single, and bet on all M groups of betting numbers. The winning probability will be increased to M×0.1%. Among them,

[0107] Restriction conditions for the number of betting numbers: N bile ∈ [1,2],

[0108] When N bile = 1, N drag ∈ [2,9];

[0109] When N = 2 and the T values are different, N drag ∈ [1, 8].

[0110] Restrictions on the betting numbers: T ∈ [0, 9], and the T values themselves cannot be repeated; T drag ∈ [0, 9], and the T drag values themselves cannot be repeated; there is no intersection between T and T drag.

[0111] Algorithm for the number of betting number groups M:

[0112] When N = 1, M = C(N drag, 3 - N) × A(3, 3);

[0113] When N = 2 and the T values are different, M = C(N drag, 3 - N) × A(3, 3).

[0114] As an example, it means that the user selects 1 key number 1 and 3 drag numbers 023 for betting. The model will automatically traverse all permutations composed of all key numbers 1 and some drag numbers 023 or only all key numbers 1 and with the single - double attribute being single, and bet on all 18 groups of betting numbers. The betting numbers are shown in Table 9.

[0115] Table 9

[0116]

[0117]

[0118] 10. Single - selection - double - key - drag betting method

[0119] Single - double attribute: Among the betting numbers 000 - 999 that the user can choose, if the three numbers are all different, the single - double attribute of this group of betting numbers is single; if there are exactly two identical numbers, the single - double attribute of this group of betting numbers is double; if the three numbers are all the same, the single - double attribute of this group of betting numbers is triple - same. For example: the single - double attribute of the betting number 012 is single, the single - double attribute of the betting number 001 is double, and the single - double attribute of the betting number 000 is triple - same.​​​​​​​​​​​​​

[0124] Lottery number limiting conditions: T-chosen number ∈ [0, 9], when N-chosen numbers = 2, the T-chosen number itself must be repeated; T-dragged number ∈ [0, 9], the T-dragged number itself cannot be repeated; there is no intersection between T-chosen numbers and T-dragged numbers.

[0125] Algorithm for the number of lottery number groups M:

[0126] When N-chosen numbers = 1, M = C(N-dragged numbers, 2 - N-chosen numbers) × C(2, 1) × C(3, 1);

[0127] When N-chosen numbers = 2 and the T-chosen numbers are the same, M = C(N-dragged numbers, 3 - N-chosen numbers) × C(3, 1).

[0128] As an example, it means that the user selects 1 chosen number 1 and 3 dragged numbers 023 for betting. The model will automatically traverse all permutations composed of all the chosen number 1 and some of the dragged numbers 023 or only composed of all the chosen number 1 and with the single - double attribute being double, and bet on all 18 groups of lottery numbers. The lottery numbers are shown in Table 10.

[0129] Table 10

[0130]

[0131]

[0132] 11. Single - selection - full span betting method

[0133] The span attribute is defined as: the difference between the maximum value and the minimum value among the three numbers of the lottery numbers 000 - 999 that the user can choose is defined as the span attribute of this group of lottery numbers. For example: the span attribute of the lottery number 000 is 0, and the span attribute of the lottery number 009 is 9.

[0134] The single - selection - full span betting method means that the user selects a span T for betting. The model will automatically screen all permutations that meet the span attribute of T, and bet on all M groups of lottery numbers. The winning probability will be increased to M × 0.1%. Among them,

[0135] Lottery number limiting conditions: span attribute T ∈ [0, 9]. ​​​​​​​​​​​​​

[0141] 12. Single Choice - Single Span betting mode

[0142] Span attribute: the difference between the maximum and minimum of the three numbers of the user-selectable betting numbers 000-999 is defined as the span attribute of the group of betting numbers. For example: the span attribute of betting number 000 is 0, and the span attribute of betting number 009 is 9. Single-double attribute: if the three numbers of the user-selectable betting numbers 000-999 are all different, then the single-double attribute of the group of betting numbers is single; if there are only two identical numbers, then the single-double attribute of the group of betting numbers is double; if the three numbers are all identical, then the single-double attribute of the group of betting numbers is triple. For example: the single-double attribute of betting number 012 is single, the single-double attribute of betting number 001 is double, and the single-double attribute of betting number 000 is triple.

[0143] Single Choice - Single Span betting mode refers to the user selecting a span T for betting, and the model will automatically filter all permutations that meet the span attribute T and the single-double attribute single, and bet on all M groups of betting numbers, and the winning probability will be improved to M x 0.1%. Wherein,

[0144] Betting number limit condition: span attribute T ∈ [2, 9].

[0145] Betting number group number M algorithm: the model automatically filters all permutations that meet the span attribute T and the single-double attribute single.

[0146] As an example, the user selects a bonus of 4 for betting, and the model will automatically filter all permutations that meet the span attribute 4 and the single-double attribute single, and bet on 108 groups of betting numbers, and the betting numbers are shown in Table 12.

[0147] Table 12

[0148]

[0149] 13. Single Choice - Double Span betting mode

[0150] Span attribute: the difference between the maximum and minimum of the three numbers of the user-selectable bet number 000-999 is defined as the span attribute of the group of bet numbers. For example: the span attribute of the bet number 000 is 0, and the span attribute of the bet number 009 is 9. Single-double attribute: if the three numbers of the user-selectable bet number 000-999 are all different, the single-double attribute of the group of bet numbers is single; if only two are the same, the single-double attribute of the group of bet numbers is double; if all three numbers are the same, the single-double attribute of the group of bet numbers is three same. For example: the single-double attribute of the bet number 012 is single, the single-double attribute of the bet number 001 is double, and the single-double attribute of the bet number 000 is three same.

[0151] Single-double-span bet mode refers to the user selecting a span T for betting, and the model will automatically filter all permutations that meet the span attribute T and the single-double attribute double, and bet on all M groups of bet numbers, and the winning probability will be improved to Mx0.1%. Among them,

[0152] Bet number limit condition: span attribute T∈[1,9].

[0153] Bet number group number M algorithm: the model automatically filters all permutations that meet the span attribute T and the single-double attribute double. 个 As an example, the user selects a span of 4 for betting, and the model will automatically filter all permutations that meet the span attribute of 4 and the single-double attribute of double, and bet on all 36 groups of bet numbers, and the bet numbers are shown in Table 13.

[0155] Table 13

[0156]

[0157] 14. Single-double-span bet mode

[0158] Single-double-span bet mode refers to the user selecting 3 numbers T for betting, and the model will automatically traverse all permutations composed of the 3 numbers, and bet on all M groups of bet numbers, and the winning probability will be improved to Mx0.1%. Among them,

[0159] Bet number limit condition: T∈[0,9], T itself can be repeated.

[0160] Bet number group number M algorithm:

[0161] When the 3 numbers in T are all different, M=A(3,3);

[0162] When 2 numbers in T are the same, M=C(3,1);

[0163] When the 3 numbers in T are all the same, M=1.

[0164] As an example, if a user selects 3 numbers 123 for betting, the model will automatically traverse all permutations composed of the 3 numbers, and bet on all 6 groups of betting numbers, as shown in Table 14.

[0165] Table 14

[0166] Serial number Hundreds Tens Units 1 1 2 3 2 1 3 2 3 2 1 3 4 2 3 1 5 3 1 2 6 3 2 1

[0167] (B) Group selection game

[0168] According to the game rules of the group selection game, the betting number and the winning number are all the same (the order is not limited), and a prize can be won. If two numbers in the three betting numbers are the same, it is called group selection 3 game; if the three betting numbers are all different, it is called group selection 6 game. If the bettor bets according to the traditional group selection 3-single betting method, the winning probability is 0.3%. For example, if the betting number is 112, only when the winning number is 112, 121 or 211 (3 groups out of 1000 numbers), a prize can be won. If the bettor bets according to the traditional group selection 6-single betting method, the winning probability is 0.6%. For example, if the betting number is 123, only when the winning number is 123, 132, 213, 231, 312 or 321 (6 groups out of 1000 numbers), a prize can be won. In order to facilitate the bettor to select the betting number and improve the winning probability, on the basis of the traditional group selection 3-single betting method and group selection 6-single betting method, 8 new betting methods are innovatively invented.

[0169] If the above target betting game is a group selection game, the betting method set is determined as the second betting method set, that is, on the basis of the traditional group selection 3-single betting method and group selection 6-single betting method, 8 new betting method sets are innovatively invented, including: group selection 3-double point betting method, group selection 3-double complex betting method, group selection 3-double drag betting method, group selection 3-double span betting method, group selection 6-single point betting method, group selection 6-single complex betting method, group selection 6-single drag betting method and group selection 6-single span betting method.

[0170] Further, the rules of each betting method in the second betting method set are as follows:

[0171] 1. Group selection 3-double point betting method

[0172] Sum attribute: the sum of three numbers of user-selectable betting numbers 000-999 is defined as the sum attribute of the group of betting numbers. For example, the sum attribute of betting number 000 is 0, and the sum attribute of betting number 999 is 27. Odd-even attribute: among user-selectable betting numbers 000-999, if the three numbers are all different, the odd-even attribute of the group of betting numbers is odd; if there are and only two same, the odd-even attribute of the group of betting numbers is even; if the three numbers are all the same, the odd-even attribute of the group of betting numbers is three same. For example, the odd-even attribute of betting number 012 is odd, the odd-even attribute of betting number 001 is even, and the odd-even attribute of betting number 000 is three same.

[0173] Group selection 3-double point betting mode refers to that the user selects a sum T for betting, and the model automatically screens all combinations that meet the sum attribute T and the odd-even attribute double, and bets on all M groups of betting numbers, and the winning probability is improved to Mx0.3%. Among them,

[0174] Betting number limited condition: sum attribute T∈[1, 26].

[0175] Betting number group number M algorithm: the model automatically screens all combinations that meet the sum attribute T and the odd-even attribute double.

[0176] As an example, the user selects the sum 12 for betting, and the model automatically screens all combinations that meet the sum attribute 24 and the odd-even attribute double, and bets on 4 groups of betting numbers, and the betting numbers are shown in Table 15.

[0177] Table 15

[0178]

[0179] 2. Group selection 3-double complex betting mode

[0180] Odd-even attribute: among user-selectable betting numbers 000-999, if the three numbers are all different, the odd-even attribute of the group of betting numbers is odd; if there are and only two same, the odd-even attribute of the group of betting numbers is even; if the three numbers are all the same, the odd-even attribute of the group of betting numbers is three same. For example, the odd-even attribute of betting number 012 is odd, the odd-even attribute of betting number 001 is even, and the odd-even attribute of betting number 000 is three same.

[0181] Group selection 3-double complex betting mode refers to that the user selects N numbers T for betting, and the model automatically traverses all combinations composed of any 2 numbers in T and having the odd-even attribute double, and bets on M groups of betting numbers, and the winning probability is improved to Mx0.3%, wherein,

[0182] Betting number limited condition: N∈[2, 10].

[0183] The betting number limitation condition is T∈[0, 9], and T itself cannot be repeated.

[0184] The algorithm of the betting number group number M is M=C(N, 2)xC(2, 1).

[0185] As an example, the group selection 3-double complex betting mode means that the user selects 3 numbers 123 for betting, and the model will automatically traverse all combinations composed of any 2 numbers in 123 and having double attribute, and bets on all 6 betting numbers. The betting numbers are shown in Table 16.

[0186] Table 16

[0187]

[0188] 3. Group selection 3-double drag betting mode

[0189] The single-double attribute is: among the user-selectable betting numbers 000-999, if the three numbers are all different, the single-double attribute of the group of betting numbers is single; if there are and only two are the same, the single-double attribute of the group of betting numbers is double; if the three numbers are all the same, the single-double attribute of the group of betting numbers is three same. For example: the single-double attribute of the betting number 012 is single, the single-double attribute of the betting number 001 is double, and the single-double attribute of the betting number 000 is three same.

[0190] The group selection 3-double drag betting mode means that the user selects N-chip chip code T-chip and N-drag drag code T-drag for betting, and the model will automatically traverse all combinations composed of all T-chip and part T-drag or only all T-chip and having double attribute, and bets on M groups of betting numbers, and the winning probability will be improved to Mx0.3%. Among them,

[0191] The betting number limitation condition is N-chip∈[1, 2],

[0192] When N-chip=1, N-drag∈[2, 9];

[0193] When N-chip=2 and T-chip is the same, N-drag∈[1, 9].

[0194] The betting number limitation condition is T-chip∈[0, 9], T-chip itself must be repeated when N-chip=2; T-drag∈[0, 9], T-drag itself cannot be repeated; there is no intersection between T-chip and T-drag.

[0195] The algorithm of the betting number group number M is:

[0196] When N-chip=1, M=C(N-drag, 2-N-chip)xC(2, 1);

[0197] When N-chip=2 and T-chip is the same, M=C(N-drag, 3-N-chip).

[0198] As an example, if a user selects 1 main code 1 and 3 sub-code 023 for betting, the model will automatically traverse all combinations composed of all main code 1 and part of sub-code 023 or only all main code 1 and the single-double attribute is double, and bets on all 6 groups of betting numbers. The betting numbers are shown in Table 17.

[0199] Table 17

[0200] Serial number Hundreds Tens Units Single or double 1 1 0 0 Double 2 1 1 0 Double 3 1 2 2 Double 4 1 1 2 Double 5 1 3 3 Double 6 1 1 3 Double

[0201] 4. Group selection 3-double span betting mode

[0202] Span attribute: the difference between the maximum and minimum of the three numbers of the user-selectable betting numbers 000-999 is defined as the span attribute of the group of betting numbers. For example: the span attribute of the betting number 000 is 0, and the span attribute of the betting number 009 is 9. Single-double attribute: among the user-selectable betting numbers 000-999, if the three numbers are all different, then the single-double attribute of the group of betting numbers is single; if there are and only two are the same, then the single-double attribute of the group of betting numbers is double; if the three numbers are all the same, then the single-double attribute of the group of betting numbers is three same. For example: the single-double attribute of the betting number 012 is single, the single-double attribute of the betting number 001 is double, and the single-double attribute of the betting number 000 is three same.

[0203] Group selection 3-double span betting mode refers to the user selecting a span T for betting, and the model will automatically filter all combinations that meet the span attribute T and the single-double attribute double, and bet on M groups of betting numbers. The winning probability will be improved to Mx0.3%. Wherein,

[0204] Betting number limit condition: span attribute T∈[1,9].

[0205] Betting number group number M algorithm: the model automatically filters all combinations that meet the span attribute T and the single-double attribute double.

[0206] As an example, the user selects span 4 for betting, and the model will automatically filter all combinations that meet the span attribute 4 and the single-double attribute double, and bet on 13 groups of betting numbers. The betting numbers are shown in Table 18.

[0207] Table 18

[0208]

[0209] 5. Group selection 6-single package point betting mode

[0210] Sum property: the sum of three numbers of the user-selectable betting numbers 000-999 is defined as the sum property of the group of betting numbers. For example, the sum property of betting number 000 is 0, and the sum property of betting number 999 is 27. Odd-even property: if the three numbers of the user-selectable betting numbers 000-999 are all different, the odd-even property of the group of betting numbers is odd; if there are only two same numbers, the odd-even property of the group of betting numbers is even; if the three numbers are all the same, the odd-even property of the group of betting numbers is three same. For example, the odd-even property of betting number 012 is odd, the odd-even property of betting number 001 is even, and the odd-even property of betting number 000 is three same.

[0211] Group selection 6-single package point betting mode refers to that the user selects one sum T for betting, and the model automatically screens all combinations that meet the sum property T and the odd-even property single, and bets on all M groups of betting numbers, so that the winning probability is improved to Mx0.6%.

[0212] Betting number limited condition: sum property T∈[3, 24].

[0213] Betting number group number M algorithm: the model automatically screens all combinations that meet the sum property T and the odd-even property single.

[0214] As an example, the user selects sum 12 for betting, and the model automatically screens all combinations that meet the sum property 12 and the odd-even property single, and bets on 10 groups of betting numbers, as shown in Table 19.

[0215] Table 19

[0216]

[0217] 6. Group selection 6-single complex betting mode

[0218] Odd-even property: if the three numbers of the user-selectable betting numbers 000-999 are all different, the odd-even property of the group of betting numbers is odd; if there are only two same numbers, the odd-even property of the group of betting numbers is even; if the three numbers are all the same, the odd-even property of the group of betting numbers is three same. For example, the odd-even property of betting number 012 is odd, the odd-even property of betting number 001 is even, and the odd-even property of betting number 000 is three same.

[0219] Group selection 6-single complex betting mode refers to that the user selects N numbers T for betting, and the model automatically traverses all combinations composed of any 3 numbers in T and having the odd-even property single, and bets on M groups of betting numbers, so that the winning probability is improved to Mx0.6%. Wherein,

[0220] Betting number limited condition: N∈[4, 10].

[0221] The betting number limitation condition is T∈[0, 9], and T itself cannot be repeated.

[0222] The algorithm of the betting number group number M is M=C(N, 3).

[0223] As an example, the group selection 6-single complex betting mode means that the user selects 4 numbers 1234 for betting, and the model will automatically traverse all combinations composed of any 3 numbers in 1234 and having a single attribute, and bets on all 4 betting numbers. The betting numbers are shown in Table 20.

[0224] Table 20

[0225]

[0226] 7. Group selection 6-single ball drag betting mode

[0227] The single-double attribute is: among the user-selectable betting numbers 000-999, if the three numbers are all different, the single-double attribute of the group of betting numbers is single; if there are and only two are the same, the single-double attribute of the group of betting numbers is double; if the three numbers are all the same, the single-double attribute of the group of betting numbers is three same. For example: the single-double attribute of the betting number 012 is single, the single-double attribute of the betting number 001 is double, and the single-double attribute of the betting number 000 is three same.

[0228] The group selection 6-single ball drag betting mode means that the user selects N ball numbers Tball and N drag numbers Tdrag for betting, and the model will automatically traverse all combinations composed of all Tball and part of Tdrag or only all Tball and having a single attribute, and bets on M groups of betting numbers, and the winning probability will be improved to Mx0.6%. Among them,

[0229] The betting number number limitation condition is Nball∈[1, 2],

[0230] When Nball=1, Ndrag∈[2, 9];

[0231] When Nball=2 and Tball are different, Ndrag∈[1, 8].

[0232] The betting number limitation condition is Tball∈[0, 9], and Tball itself cannot be repeated; Tdrag∈[0, 9], and Tdrag itself cannot be repeated; Tball and Tdrag have no intersection.

[0233] The algorithm of the betting number group number M is:

[0234] When Nball=1, M=C(Ndrag, 3-Nball);

[0235] When Nball=2 and Tball are different, M=C(Ndrag, 3-Nball).

[0236] As an example, if a user selects 1 main code 1 and 3 sub codes 023 for betting, the model will automatically traverse all combinations composed of all main code 1 and part of sub code 023 or only all main code 1 and the single / double attribute is single, and bets on all 3 groups of betting numbers. The betting numbers are shown in Table 21.

[0237] Table 21

[0238]

[0239] 8. Group selection 6-single span betting mode

[0240] Span attribute: the difference between the maximum and minimum of the three numbers selected by the user from 000-999 is defined as the span attribute of the group of betting numbers. For example, the span attribute of betting number 000 is 0, and the span attribute of betting number 009 is 9. Single / double attribute: if the three numbers selected by the user from 000-999 are all different, the single / double attribute of the group of betting numbers is single; if there are and only two are the same, the single / double attribute of the group of betting numbers is double; if the three numbers are the same, the single / double attribute of the group of betting numbers is three same. For example, the single / double attribute of betting number 012 is single, the single / double attribute of betting number 001 is double, and the single / double attribute of betting number 000 is three same.

[0241] Group selection 6-single span betting mode refers to the user selecting a span T for betting, and the model will automatically filter all combinations that meet the span attribute T and the single / double attribute single, and bet on M groups of betting numbers. The winning probability will be improved to Mx0.6%. Wherein,

[0242] Betting number limit condition: span attribute T∈[2,9].

[0243] Betting number group M algorithm: the model automatically filters all combinations that meet the span attribute T and the single / double attribute single.

[0244] As an example, the user selects span 4 for betting, and the model will automatically filter all combinations that meet the span attribute 4 and the single / double attribute single, and bet on 18 groups of betting numbers. The betting numbers are shown in Table 22.

[0245] Table 22

[0246]

[0247] Step S3, interact with the user based on the above set of betting modes using the interaction module, and accept the target betting mode selected by the user.

[0248] Specifically, the interaction module constructs a hierarchical intelligent interaction interface based on the determined set of betting modes, realizing precise two-way communication between the user and the system. The interface uses a dynamic tree structure to display betting modes, with the root node being the selected play and the child nodes being traditional single betting modes and innovative new betting modes. For example, under the root node of single play, the child nodes are traditional single-single betting modes and innovative single-full point, single-single point, etc. 14 kinds of new betting modes. The system uses a multi-modal guidance strategy, and when the user hovers over any betting mode, a pop-up layer automatically displays the core parameter range of the betting number and number limit conditions of that mode. For example, after the user selects the single-full drag betting mode, the pop-up layer automatically displays the betting number limit condition corresponding to that mode: N 胆 ∈[1,2],

[0249] When N 胆 = 1, N 拖 ∈[2,9];

[0250] When N 胆 = 2 and T 胆 are the same, N 拖 ∈[1,9];

[0251] When N 胆 = 2 and T 胆 are different, N 拖 ∈[1,8]。

[0252] Betting number limit condition: T 胆 ∈[0,9] and T 胆 itself can be repeated; T 拖 ∈[0,9] and T 拖 itself cannot be repeated; T 胆 and T 拖 have no intersection.

[0253] Step S4, determine the target algorithm model based on the above target betting mode.

[0254] Specifically, the system constructs a dynamically adaptive algorithm model scheduling mechanism based on the target betting mode, realizing intelligent mapping from business requirements to mathematical models. This mechanism contains three layers of architecture: metadata analysis layer, model routing layer and parameter optimization layer. The metadata analysis layer first performs semantic deconstruction on the target betting mode and extracts the core parameter set. For example, for the single-single point betting mode, the system analyzes the sum value T as the main parameter, and extracts implicit parameters such as the betting number limit condition: sum attribute T∈[0,27], single-double attribute is single, to build the parameter vector [T,0-27, single]. For the group 3-double drag betting mode, the system will identify the number of codes N 胆 , the number of drag codes N 拖and single / double attribute constraints, forming a multi-dimensional parameter matrix [[N 胆 , N 拖 ], double]. The model routing layer matches the optimal calculation model from the algorithm model pool based on the parameter feature library. The model pool preloads 12 basic algorithm models, covering permutation combination, conditional screening, probability optimization, and other core logic. For example, when the parameter vector contains the "sum value T", the system automatically routes to the "sum value permutation generation model", which is based on the dynamic programming algorithm and pre-computes and caches all possible permutation combinations of the sum value. For betting methods containing "shuntrailing" parameters, the system calls the "shuntrailing combination expansion model" to quickly generate number combinations that meet the conditions through set operations. The parameter tuning layer dynamically configures the selected model and adjusts the calculation strategy according to the characteristics of the betting method. For high-complexity betting methods, the system enables a parallel computing framework, decomposes the calculation task into multiple sub-tasks, and distributes them to distributed nodes, compressing the response time to milliseconds. In the model execution phase, a two-level verification mechanism is introduced to ensure calculation accuracy. The first-level verification is at the model output end, and the second-level verification is at the result application end.

[0255] Step S5, based on the above target betting method, interact with the user to accept the user's selected betting numbers.

[0256] Specifically, the above-mentioned betting numbers include specific digital numbers input by the user and attribute conditions selected by the user based on the sum value, span, and single / double attribute. The above-mentioned attribute conditions are used to generate specific betting numbers by the target algorithm model according to the above-mentioned attribute conditions.

[0257] For example, when the above-mentioned target betting method is a single selection-full package point betting method, the sum value T selected by the user is accepted, and the target algorithm model automatically filters the specific digital number permutations with a sum value of T; when the above-mentioned target betting method is a single selection-single package point betting method, the sum value T selected by the user is accepted, and the target algorithm model automatically filters all specific digital number permutations with a sum value of T and a single / double attribute of single; when the above-mentioned target betting method is a group selection 6-single combination betting method, N numbers selected by the user are accepted, and the target algorithm model automatically traverses all specific digital number combinations composed of any 3 numbers from the N numbers and with a single / double attribute of single; when the above-mentioned target betting method is a group selection 3-double shuntrailing betting method, N 胆 chance codes and N 拖 trailing codes selected by the user are accepted, and the target algorithm model automatically traverses all specific digital number combinations composed of all chance codes and part of trailing codes or only all chance codes and with a single / double attribute of double.

[0258] Step S6, based on the above-mentioned target algorithm model and the above-mentioned betting numbers, determine the betting result.

[0259] Specifically, first, the user input bet number and attribute conditions are checked for compliance, to ensure that the parameters meet the calculation requirements of the target algorithm model. If the user input specific number does not meet the bet number and number limit conditions specified by the bet mode, a warning box is automatically popped up. If the user input specific number meets the bet number and number limit conditions specified by the bet mode, the corresponding calculation engine is called according to different bet modes, and the bet group number corresponding to the bet number is automatically displayed, and a "one-key betting" shortcut button is provided. By simplifying the betting process, supporting one-key combination generation, and greatly reducing the operation cost. It is convenient for users to optimize the betting combination by using mathematical laws (such as odd-even ratio, sum value, span, etc.) or historical data (such as hot and cold numbers, missing values, etc.) to cover multiple groups of numbers. Enhance the strategy while improving user participation interest and convenience.

[0260] The processing method for digital computer tickets provided by the embodiment is suitable for digital computer tickets, and comprehensively improves the core functions of data processing, interactive response, algorithm optimization and scene adaptation through intelligent design and multi-technology integration throughout the whole process, forms an efficient and complete digital computer ticket processing scheme, and meets the multiple needs of the lottery industry. The interactive module accurately analyzes the user's betting needs, not only identifies explicit needs but also excavates potential preferences, and synchronously checks data with the database in real time to ensure that the betting information is accurate and reliable; support multi-modal interaction mode, provide personalized recommendation and dynamic adjustment suggestion combined with user historical data, make betting operation more convenient and intelligent; the target algorithm model optimizes the betting combination by means of combinatorial mathematics and probability statistics principle, improves the processing efficiency through parallel computing technology, and can also evaluate and control the risk of the betting scheme; has full-channel coverage capability, can adapt to different types of digital lottery games, realizes data interconnection and scene switching, and forms a unified processing framework through abstract rules, which is convenient for quickly responding to market demand. Effectively solve the problems of fuzzy demand analysis, poor interactive experience, low calculation efficiency and weak scene adaptability in traditional processing. In summary, the processing method for digital computer tickets provided by the embodiment effectively solves the problems of high operation cost of traditional single bet mode, lack of combination expansion capability, and linear growth of operation cost with the number of numbers if the user wants to cover multiple groups of numbers, which limits the user experience.

[0261] The above is an embodiment of the processing system for digital computer tickets provided by the present application, and the following describes other embodiments of the processing system for digital computer tickets provided by the present application. See the following.

[0262] A processing system for digital computer tickets is also provided in the present embodiments, which is used to implement the above embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the system described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and contemplated.

[0263] The present embodiments provide a processing system for digital computer tickets, as shown in Figure 2 comprising:

[0264] A first interaction module for interacting with the user based on a set of betting game using the interaction module, receiving the target betting game selected by the user, and the set of betting game including single selection game and group selection game;

[0265] A first determination module for determining a set of betting methods based on the target betting game;

[0266] A second interaction module for interacting with the user based on the set of betting methods using the interaction module, and accepting the target betting method selected by the user;

[0267] A second determination module for determining a target algorithm model based on the target betting method;

[0268] A third interaction module for interacting with the user based on the target betting method, and accepting the betting number selected by the user;

[0269] A third determination module for determining the betting result based on the target algorithm model and the betting number.

[0270] The processing system for digital computer lottery provided in the embodiment comprehensively improves core functions such as data processing, interactive response, algorithm optimization and scene adaptation through intelligent design of the whole process and multi-technology fusion, forms an efficient and complete digital computer lottery processing scheme, and meets multiple needs of the lottery industry. The interactive module accurately analyzes user betting needs, not only identifies explicit needs but also excavates potential preferences, synchronously checks data with the database in real time, and ensures that betting information is accurate and reliable; supports multi-modal interactive methods, provides personalized recommendations and dynamic adjustment suggestions combined with historical data of users, and makes betting operations more convenient and intelligent; the target algorithm model optimizes betting combinations with the help of combinatorics and probability statistics principles, improves processing efficiency through parallel computing and other technologies, and can also evaluate and control the risk of betting schemes; has full-channel coverage capability, can adapt to different types of digital lottery games, realizes data interconnection and scene switching, and forms a unified processing framework through abstract rules, which facilitates rapid response to market demand. It effectively solves the problems of ambiguous demand analysis, poor interactive experience, low calculation efficiency and weak scene adaptability in traditional processing. In summary, the processing system for digital computer lottery provided in the embodiment effectively solves the problems of high operation cost of traditional single betting method, lack of combination expansion capability, and limitation of user experience if users want to cover multiple groups of numbers, which requires manual selection of multiple groups of single numbers, and the operation cost increases linearly with the number of numbers.

[0271] Further function description of each module and unit is the same as the corresponding embodiment described above, and will not be repeated here.

Claims

1. A method for processing digital computer tickets, characterized by, The method comprises: Step S1, interacting with the user based on a betting game set by using an interaction module, receiving a target betting game selected by the user, the betting game set comprising a single selection game and a group selection game; Step S2, determining a betting mode set based on the target betting game; Step S3, interacting with the user based on the betting mode set by using the interaction module, and receiving a target betting mode selected by the user; Step S4, determining a target algorithm model based on the target betting mode; Step S5, interacting with the user based on the target betting mode, and receiving a betting number selected by the user; Step S6, determining a betting result based on the target algorithm model and the betting number.

2. The method of claim 1, wherein, The step S2 comprises: If the target betting game is a single selection game, the betting mode set is a first betting mode set, and the first betting mode set comprises: single selection-full package point betting mode, single selection-single package point betting mode, single selection-double package point betting mode, single selection-by-bit complex betting mode, single selection-full complex betting mode, single selection-single complex betting mode, single selection-double complex betting mode, single selection-full span betting mode, single selection-single span betting mode, single selection-double span betting mode, and single selection-full hit betting mode; If the target betting game is a group selection game, the betting mode set is a second betting mode set, and the second betting mode set comprises: group selection 3-double package point betting mode, group selection 3-double complex betting mode, group selection 3-double span betting mode, group selection 6-single package point betting mode, group selection 6-single complex betting mode, group selection 6-single span betting mode, and group selection 6-single hit betting mode.

3. The method of claim 2, wherein, The betting number comprises a specific number input by the user and an attribute condition selected by the user based on a sum, a span, and a single-double attribute, and the attribute condition is used to generate the specific number by the target algorithm model according to the attribute condition.

4. The method of claim 2, wherein, The step S5 comprises: When the target betting mode is single selection-full package point betting mode, the sum T selected by the user is accepted, and the target algorithm model automatically screens specific number arrangements with the sum T.

5. The method of claim 2, wherein, The step S5 comprises: When the target betting mode is single selection-single package point betting mode, the sum T selected by the user is accepted, and the target algorithm model automatically screens all specific number arrangements with the sum T and a single-double attribute of single.

6. The method of claim 2, wherein, The step S5 comprises: When the target betting mode is group selection 6-single complex betting mode, N numbers selected by the user are accepted, and the target algorithm model automatically traverses all specific number arrangements composed of any 3 numbers in the N numbers and with a single-double attribute of single.

7. The method of claim 2, wherein, The step S5 is based on the target betting mode to interact with the user, and accepts the user-selected betting number, including: When the target betting mode is a group-selected 3-double-chance betting mode, the user-selected N-chance chit codes and N-chance drag codes are accepted, and the target algorithm model automatically traverses all specific number arrangements composed of all chit codes and part of drag codes or only all chit codes and having a double single-double attribute.

8. The method of claim 6, wherein, The single-choice-full-chance-drag-betting mode, the gallbladder code and the drag code set have no intersection, only when N 胆 =2 and the two gallbladder codes are the same, the gallbladder code can be repeated, the drag code cannot be repeated, and the target algorithm model calculates the number of betting number groups M according to the number and relationship of the gallbladder code and the drag code.

9. The method of claim 8, wherein, The interaction mode of the interaction module with the user includes a graphical user interface interaction and a text interaction.

10. A processing system for digital computer tickets, characterized by The system comprises: A first interaction module is configured to interact with the user based on a betting mode set by using the interaction module, receive a target betting mode selected by the user, and the betting mode set comprises a single selection mode and a group selection mode; A first determination module is configured to determine a betting mode set based on the target betting mode; A second interaction module is configured to interact with the user based on the betting mode set by using the interaction module, and accept a target betting mode selected by the user; A second determination module is configured to determine a target algorithm model based on the target betting mode; A third interaction module is configured to interact with the user based on the target betting mode, and accept a betting number selected by the user; A third determination module is configured to determine a betting result based on the target algorithm model and the betting number.

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